This package implements a Kolmogorov Smirnov rank-sum based algorithm for training (i.e. discriminant analysis–identification of genes that discriminate between classes) and classification of gene expression data sets. One of the chief strengths of this approach is that it is amenable to the "multiclass" problem. That is, it can discriminate between more than 2 classes.
Use of this package requires an
to your liking, containing gene expression data you wish to train on
to identify discriminant genes. Optionally, a second
may be employed for subsequent testing or "diagnosis".
ExpressionSet does not contain the appropriate phenoData
specifying the classes for each sample, a factor containing this information
will also be required.
See the examples for further details.
Eric J. Kort Maintainer: <[email protected]>
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